TensorFlow is an open source platform for machine learning. If `QuantizeDownAndShrinkRange` is given nonscalar inputs for `input_min` or `input_max`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
History

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cve-icon MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published: 2022-09-16T21:05:12

Updated: 2024-08-03T09:51:59.855Z

Reserved: 2022-07-15T00:00:00

Link: CVE-2022-35974

cve-icon Vulnrichment

No data.

cve-icon NVD

Status : Analyzed

Published: 2022-09-16T21:15:09.550

Modified: 2022-09-20T19:19:45.370

Link: CVE-2022-35974

cve-icon Redhat

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